{"id":"W4303644183","doi":"","title":"Deliverable 1.2 Definitions and a set of inclusion criteria for agroecology living labs, pertinent, research infrastructures and their synergies, ALL-Ready Project Grant Agreement No 101000349","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Deliverable; Inclusion (mineral); Set (abstract data type); Agroecology; Library science; Computer science; Engineering; Sociology; Geography; Systems engineering; Social science; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.007461815,0.0002678261,0.0004074543,0.0004429337,0.001167138,0.0003158621,0.000559764,0.0003483034,0.00007791365],"category_scores_gemma":[0.003060215,0.0002529157,0.0000676023,0.0004223472,0.0005322876,0.0001979511,0.008336319,0.0005652633,0.000001679716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008730585,"about_ca_system_score_gemma":0.0002078163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379692,"about_ca_topic_score_gemma":0.001959217,"domain_scores_codex":[0.9972243,0.001057494,0.000505035,0.0006041928,0.0002449414,0.0003640485],"domain_scores_gemma":[0.9936773,0.001171264,0.0004292789,0.0005976603,0.00410666,0.00001790187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001233047,0.001134586,0.01515585,0.00569977,0.0008681603,0.00001044289,0.0915858,0.00001551248,0.02641783,0.7903957,0.01298548,0.05560751],"study_design_scores_gemma":[0.005423768,0.00001966385,0.1074241,0.02013489,0.0006500874,0.00004738997,0.04291142,0.06378031,0.0610899,0.4337389,0.2602917,0.004487905],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707814,0.001329434,0.009180143,0.005151184,0.0002642061,0.001356099,0.0001357349,0.0001216498,0.01168015],"genre_scores_gemma":[0.9763384,0.00101064,0.02061264,0.0002973869,0.00005682543,0.0003356364,0.0009829977,0.00003145264,0.0003340518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3566569,"threshold_uncertainty_score":0.9999923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07485550500318007,"score_gpt":0.2971105317516526,"score_spread":0.2222550267484725,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}